Leveraging root trait identification for winter wheat yield prediction using machine learning.

Specifically, root length, root surface area, and root dry mass exhibited correlation coefficients greater than 0.50, all reaching highly significant levels (p< 0.001).

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Under this evaluation framework, the prediction results showed a clear trend across the hierarchical feature tiers.

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